Operations | Monitoring | ITSM | DevOps | Cloud

Data Lakes Explored: Benefits, Challenges, and Best Practices

A data lake is a data repository for terabytes or petabytes of raw data stored in its original format. The data can originate from a variety of data sources: IoT and sensor data, a simple file, or a binary large object (BLOB) such as a video, audio, image or multimedia file. Any manipulation of the data — to put it into a data pipeline and make it usable — is done when the data is extracted from the data lake.

Dark Data: Discovery, Uses, and Benefits of Hidden Data

Dark data is all of the unused, unknown and untapped data across an organization. This data is generated as a result of users’ daily interactions online with countless devices and systems — everything from machine data to server log files to unstructured data derived from social media. Organizations may consider this data too old to provide value, incomplete or redundant, or limited by a format that can’t be accessed with available tools.

Optimize Equipment with Data-Driven Analytics

We want machines in good working order, making products of superior quality. This isn’t news. But what is newsworthy is that routine maintenance can still lead to more downtime than necessary. Not all maintenance programs are created equally. Keeping capital equipment running doesn’t exist inside a vacuum of chance. Outside the fraction of unavoidable catastrophes, there’s much power in the decision-making process.

Data Observability's Impact on Business Decisions and Strategies

In today's data-driven world, businesses rely heavily on data to make important decisions and formulate strategies. However, one crucial element is often overlooked - data observability. Observing and understanding the behavior and performance of data systems and applications is vital to making accurate and informed decisions. In this blog post, Dennis Bonnen will explore the impact of data observability on business decisions and strategies.

Pipeline Efficiency: Best Practices for Optimizing your Data Pipeline

Data pipelines are the foundational support to any business analytics project. They are growing more critical than ever as companies are leaning on their insights to drive their business: 54% of enterprises said it was vital to their future business strategies. Data pipelines play a crucial role as they perform calculations and transformations used by analysts, data scientists, and business intelligence teams.